Uncalibrated Factorization Using a Variable Symmetric Affine Camera

Abstract. In order to reconstruct 3-D Euclidean shape by the TomasiKanade factorization, one needs to specify an affine camera model such as orthographic, weak perspective, and paraperspective. We present a new method that does not require any such specific models. We show that a minimal requirement for an affine camera to mimic perspective projection leads to a unique camera model, called symmetric affine camera, which has two free functions. We determine their values from input images by linear computation and demonstrate by experiments that an appropriate camera model is automatically selected.

• Type: Conference
• Year: 2006
• Where: ECCV
• Authors: Ken-ichi Kanatani, Yasuyuki Sugaya, Hanno Ackermann
• Keywords: Affine Camera Model, Appropriate Camera Model, Computer Vision, ECCV 2006, Mimic Perspective Projection, Symmetric Affine Camera, Unique Camera Model